{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>close</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
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       "    <tr>\n",
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       "      <td>000001.SH</td>\n",
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       "      <td>3148.0207</td>\n",
       "      <td>3139.4753</td>\n",
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       "      <td>3126.1697</td>\n",
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       "      <td>3158.5891</td>\n",
       "      <td>3163.1441</td>\n",
       "      <td>3137.1517</td>\n",
       "      <td>3154.3201</td>\n",
       "      <td>0.2271</td>\n",
       "      <td>0.0072</td>\n",
       "      <td>384287495.0</td>\n",
       "      <td>406707822.8</td>\n",
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       "      <th>2</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20240509</td>\n",
       "      <td>3154.3201</td>\n",
       "      <td>3128.1644</td>\n",
       "      <td>3158.4646</td>\n",
       "      <td>3128.1644</td>\n",
       "      <td>3128.4798</td>\n",
       "      <td>25.8403</td>\n",
       "      <td>0.8260</td>\n",
       "      <td>360881462.0</td>\n",
       "      <td>398979066.9</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20240508</td>\n",
       "      <td>3128.4798</td>\n",
       "      <td>3141.4874</td>\n",
       "      <td>3144.9856</td>\n",
       "      <td>3126.1729</td>\n",
       "      <td>3147.7380</td>\n",
       "      <td>-19.2582</td>\n",
       "      <td>-0.6118</td>\n",
       "      <td>334000320.0</td>\n",
       "      <td>367220116.5</td>\n",
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       "      <th>4</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20240507</td>\n",
       "      <td>3147.7380</td>\n",
       "      <td>3139.6637</td>\n",
       "      <td>3151.2190</td>\n",
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       "      <td>3140.7204</td>\n",
       "      <td>7.0176</td>\n",
       "      <td>0.2234</td>\n",
       "      <td>379102564.0</td>\n",
       "      <td>426951665.9</td>\n",
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       "    <tr>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20230109</td>\n",
       "      <td>3176.0845</td>\n",
       "      <td>3169.3737</td>\n",
       "      <td>3183.5830</td>\n",
       "      <td>3165.4282</td>\n",
       "      <td>3157.6365</td>\n",
       "      <td>18.4480</td>\n",
       "      <td>0.5842</td>\n",
       "      <td>258115218.0</td>\n",
       "      <td>342693771.0</td>\n",
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       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20230106</td>\n",
       "      <td>3157.6365</td>\n",
       "      <td>3155.0747</td>\n",
       "      <td>3170.7418</td>\n",
       "      <td>3151.8407</td>\n",
       "      <td>3155.2162</td>\n",
       "      <td>2.4203</td>\n",
       "      <td>0.0767</td>\n",
       "      <td>257380255.0</td>\n",
       "      <td>338539843.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20230105</td>\n",
       "      <td>3155.2162</td>\n",
       "      <td>3132.7614</td>\n",
       "      <td>3159.4270</td>\n",
       "      <td>3130.2300</td>\n",
       "      <td>3123.5164</td>\n",
       "      <td>31.6998</td>\n",
       "      <td>1.0149</td>\n",
       "      <td>257003018.0</td>\n",
       "      <td>335635934.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20230104</td>\n",
       "      <td>3123.5164</td>\n",
       "      <td>3117.5711</td>\n",
       "      <td>3129.0937</td>\n",
       "      <td>3109.4512</td>\n",
       "      <td>3116.5119</td>\n",
       "      <td>7.0045</td>\n",
       "      <td>0.2248</td>\n",
       "      <td>273313626.0</td>\n",
       "      <td>316391228.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>000001.SH</td>\n",
       "      <td>20230103</td>\n",
       "      <td>3116.5119</td>\n",
       "      <td>3087.5130</td>\n",
       "      <td>3119.8556</td>\n",
       "      <td>3073.0540</td>\n",
       "      <td>3089.2579</td>\n",
       "      <td>27.2540</td>\n",
       "      <td>0.8822</td>\n",
       "      <td>281370362.0</td>\n",
       "      <td>331392138.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>326 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ts_code trade_date      close       open       high        low  \\\n",
       "0    000001.SH   20240513  3148.0207  3139.4753  3157.3656  3126.1697   \n",
       "1    000001.SH   20240510  3154.5472  3158.5891  3163.1441  3137.1517   \n",
       "2    000001.SH   20240509  3154.3201  3128.1644  3158.4646  3128.1644   \n",
       "3    000001.SH   20240508  3128.4798  3141.4874  3144.9856  3126.1729   \n",
       "4    000001.SH   20240507  3147.7380  3139.6637  3151.2190  3133.6904   \n",
       "..         ...        ...        ...        ...        ...        ...   \n",
       "321  000001.SH   20230109  3176.0845  3169.3737  3183.5830  3165.4282   \n",
       "322  000001.SH   20230106  3157.6365  3155.0747  3170.7418  3151.8407   \n",
       "323  000001.SH   20230105  3155.2162  3132.7614  3159.4270  3130.2300   \n",
       "324  000001.SH   20230104  3123.5164  3117.5711  3129.0937  3109.4512   \n",
       "325  000001.SH   20230103  3116.5119  3087.5130  3119.8556  3073.0540   \n",
       "\n",
       "     pre_close   change  pct_chg          vol       amount  \n",
       "0    3154.5472  -6.5265  -0.2069  397030565.0  425963088.2  \n",
       "1    3154.3201   0.2271   0.0072  384287495.0  406707822.8  \n",
       "2    3128.4798  25.8403   0.8260  360881462.0  398979066.9  \n",
       "3    3147.7380 -19.2582  -0.6118  334000320.0  367220116.5  \n",
       "4    3140.7204   7.0176   0.2234  379102564.0  426951665.9  \n",
       "..         ...      ...      ...          ...          ...  \n",
       "321  3157.6365  18.4480   0.5842  258115218.0  342693771.0  \n",
       "322  3155.2162   2.4203   0.0767  257380255.0  338539843.7  \n",
       "323  3123.5164  31.6998   1.0149  257003018.0  335635934.5  \n",
       "324  3116.5119   7.0045   0.2248  273313626.0  316391228.7  \n",
       "325  3089.2579  27.2540   0.8822  281370362.0  331392138.9  \n",
       "\n",
       "[326 rows x 11 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tushare as ts\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Kline\n",
    "\n",
    "from pyecharts.globals import CurrentConfig, NotebookType, OnlineHostType\n",
    "# CurrentConfig.NOTEBOOK_TYPE = NotebookType.输入其一[JUPYTER_LAB]/[JUPYTER_NOTEBOOK]/[NTERACT]/[ZEPPELIN]\n",
    "CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_NOTEBOOK\n",
    "CurrentConfig.ONLINE_HOST = OnlineHostType.NOTEBOOK_HOST\n",
    "\n",
    "pro = ts.pro_api('61dc8a2e5096ba36e404d40bf123e22e756d116b0664c901f4cbe209')\n",
    "df = pro.index_daily(\n",
    "    **{\"ts_code\": \"000001.SH\", \"trade_date\": \"\", \"start_date\": \"20230101\", \"end_date\": \"\", \"limit\": \"\", \"offset\": \"\"}, fields=[\n",
    "        \"ts_code\", \"trade_date\", \"close\", \"open\", \"high\", \"low\", \"pre_close\", \"change\", \"pct_chg\", \"vol\", \"amount\"])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = df.loc[:,['trade_date', 'open', 'close', 'low', 'high']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>20230103</td>\n",
       "      <td>3087.5130</td>\n",
       "      <td>3116.5119</td>\n",
       "      <td>3073.0540</td>\n",
       "      <td>3119.8556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>20230104</td>\n",
       "      <td>3117.5711</td>\n",
       "      <td>3123.5164</td>\n",
       "      <td>3109.4512</td>\n",
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       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>20230105</td>\n",
       "      <td>3132.7614</td>\n",
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       "      <td>3130.2300</td>\n",
       "      <td>3159.4270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>20230106</td>\n",
       "      <td>3155.0747</td>\n",
       "      <td>3157.6365</td>\n",
       "      <td>3151.8407</td>\n",
       "      <td>3170.7418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>20230109</td>\n",
       "      <td>3169.3737</td>\n",
       "      <td>3176.0845</td>\n",
       "      <td>3165.4282</td>\n",
       "      <td>3183.5830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20240507</td>\n",
       "      <td>3139.6637</td>\n",
       "      <td>3147.7380</td>\n",
       "      <td>3133.6904</td>\n",
       "      <td>3151.2190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20240508</td>\n",
       "      <td>3141.4874</td>\n",
       "      <td>3128.4798</td>\n",
       "      <td>3126.1729</td>\n",
       "      <td>3144.9856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20240509</td>\n",
       "      <td>3128.1644</td>\n",
       "      <td>3154.3201</td>\n",
       "      <td>3128.1644</td>\n",
       "      <td>3158.4646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20240510</td>\n",
       "      <td>3158.5891</td>\n",
       "      <td>3154.5472</td>\n",
       "      <td>3137.1517</td>\n",
       "      <td>3163.1441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20240513</td>\n",
       "      <td>3139.4753</td>\n",
       "      <td>3148.0207</td>\n",
       "      <td>3126.1697</td>\n",
       "      <td>3157.3656</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>326 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    trade_date       open      close        low       high\n",
       "325   20230103  3087.5130  3116.5119  3073.0540  3119.8556\n",
       "324   20230104  3117.5711  3123.5164  3109.4512  3129.0937\n",
       "323   20230105  3132.7614  3155.2162  3130.2300  3159.4270\n",
       "322   20230106  3155.0747  3157.6365  3151.8407  3170.7418\n",
       "321   20230109  3169.3737  3176.0845  3165.4282  3183.5830\n",
       "..         ...        ...        ...        ...        ...\n",
       "4     20240507  3139.6637  3147.7380  3133.6904  3151.2190\n",
       "3     20240508  3141.4874  3128.4798  3126.1729  3144.9856\n",
       "2     20240509  3128.1644  3154.3201  3128.1644  3158.4646\n",
       "1     20240510  3158.5891  3154.5472  3137.1517  3163.1441\n",
       "0     20240513  3139.4753  3148.0207  3126.1697  3157.3656\n",
       "\n",
       "[326 rows x 5 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.sort_values(by='trade_date')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_list = [str(pd.to_datetime(str(s)))[:10] for s in data['trade_date']] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-01-03\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'2024-05-13'"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(date_list[0])\n",
    "date_list[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "ohlc = data[['open', 'close', 'low', 'high']].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_zoom_x = opts.DataZoomOpts(\n",
    "    type_=\"slider\", xaxis_index=[0], range_start=30, range_end=100\n",
    ")\n",
    "data_zoom_y = opts.DataZoomOpts(\n",
    "    type_=\"slider\", yaxis_index=[0], range_start=20, range_end=80, orient=\"vertical\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyecharts.charts.basic_charts.kline.Kline at 0x1d829f5f6a0>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kline = Kline()\n",
    "kline.add_xaxis(date_list)\n",
    "kline.add_yaxis(\"上证指数\", ohlc)\n",
    "kline.set_global_opts(\n",
    "    xaxis_opts = opts.AxisOpts(is_scale=True),\n",
    "    yaxis_opts = opts.AxisOpts(\n",
    "                               splitarea_opts = opts.SplitAreaOpts(is_show=True),\n",
    "                               min_=2400,\n",
    "                              ),\n",
    "    datazoom_opts=[data_zoom_x,data_zoom_y],\n",
    "    title_opts=opts.TitleOpts(title=\"sss\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'http://localhost:8888/nbextensions/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"60050a1ed1664f93b2d51858b626f792\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_60050a1ed1664f93b2d51858b626f792 = echarts.init(\n",
       "                    document.getElementById('60050a1ed1664f93b2d51858b626f792'), 'white', {renderer: 'canvas'});\n",
       "                var option_60050a1ed1664f93b2d51858b626f792 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
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       "                \"2023-05-11\",\n",
       "                \"2023-05-12\",\n",
       "                \"2023-05-15\",\n",
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       "                \"2024-01-30\",\n",
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       "                \"2024-04-15\",\n",
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       "                \"2024-04-17\",\n",
       "                \"2024-04-18\",\n",
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       "                \"2024-05-09\",\n",
       "                \"2024-05-10\",\n",
       "                \"2024-05-13\"\n",
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       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
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       "                \"lineStyle\": {\n",
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       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
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       "            },\n",
       "            \"splitArea\": {\n",
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       "                \"areaStyle\": {\n",
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       "    ],\n",
       "    \"title\": [\n",
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       "            \"show\": true,\n",
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       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
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       "    \"dataZoom\": [\n",
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       "            \"type\": \"slider\",\n",
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       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 30,\n",
       "            \"end\": 100,\n",
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       "            \"xAxisIndex\": [\n",
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       "            \"filterMode\": \"filter\"\n",
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       "        {\n",
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       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"vertical\",\n",
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       "            \"filterMode\": \"filter\"\n",
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       "                chart_60050a1ed1664f93b2d51858b626f792.setOption(option_60050a1ed1664f93b2d51858b626f792);\n",
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   "metadata": {},
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